Processing geolocation data using ML

Machine learning techniques can be used to get accurate real estate market information. In this case we track new supply at a submarket geolocation over a period of time which provides accurate, specific and timely information about new construction activity, number of projects, size of projects, completion timelines and overall available stock supply. This allows us to monitor logistics assets at any location including markets where traditional estimates or coverage might be insufficient or unavailable. Further, machine learning techniques can process large volumes of data and provide valuable insights for investment decisions.